Sciweavers

22 search results - page 1 / 5
» Equivariant nonstationary source separation
Sort
View
NN
2002
Springer
107views Neural Networks» more  NN 2002»
13 years 10 months ago
Equivariant nonstationary source separation
Most of source separation methods focus on stationary sources, so higher-order statistics is necessary for successful separation, unless sources are temporally correlated. For non...
Seungjin Choi, Andrzej Cichocki, Shun-ichi Amari
ICA
2004
Springer
14 years 4 months ago
Blind Separation of Nonstationary Sources by Spectral Decorrelation
Abstract. This paper demonstrates and exploits some interesting frequency-domain properties of nonstationary signals. Considering these properties, two new methods for blind separa...
Shahram Hosseini, Yannick Deville
VLSISP
2002
72views more  VLSISP 2002»
13 years 10 months ago
Second Order Nonstationary Source Separation
This paper addresses a method of blind source separation that jointly exploits the nonstationarity and temporal structure of sources. The method needs only multiple time-delayed co...
Seungjin Choi, Andrzej Cichocki, Adel Belouchrani
ESANN
2007
14 years 9 days ago
Markovian blind separation of non-stationary temporally correlated sources
In a previous work, we developed a quasi-efficient maximum likelihood approach for blindly separating stationary, temporally correlated sources modeled by Markov processes. In this...
Rima Guidara, Shahram Hosseini, Yannick Deville
ICASSP
2011
IEEE
13 years 2 months ago
Nonstationary and temporally correlated source separation using Gaussian process
Blind source separation (BSS) is a process to reconstruct source signals from the mixed signals. The standard BSS methods assume a fixed set of stationary source signals with the ...
Hsin-Lung Hsieh, Jen-Tzung Chien